umd-fire-coml/2020-3D-Object-Detection
The purpose of this research is to do 3D object detection from a photo using machine learning. The goal is a working model that can detect multiple 3D objects and provide their dimensions and orientation given a photo. There are many ways to implement this, but this project uses center-based 3D object detection and tracking, where the model predicts the physical, three-dimensional center of detected objects, which is regressed to predict the dimensions and orientation of the object.
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Issues
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Visualization - Create and visualize model (like keras.model.summary()) (1pts, Sid, 11/13) Vineeth
#24 opened by Sid-Joshi-umd - 0
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Visualization - Train Model (1/2 Epoch at least) (3pts, Sid, 11/13) Vineeth
#26 opened by vineeth-vajipey - 0
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Visualization - Import packages/Import + visualize data (4pts, Sid, 10/10) Vineeth
#23 opened by Sid-Joshi-umd - 1
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